Sports Science and Human Health - Different Approaches
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this era of sedentary lifestyles and disruption, sports science can propose solutions to human health matters. There is no doubt about the positive impact of sports on the physical as well as mental health of an individual, by extrapolation to the society at large. But with the advent of the latest technologies in the sports domain, the body of knowledge about sports science and human health is reaching new heights. The “Sports Science and Human Health - Different Approaches” book aims to expose worldwide research and development works in an explicit manner. Readers will appreciate the diversity of the topics, ranging from the use of machine learning in sports science to the psychological impact of sports and sports for peace initiatives. A large section is dedicated to wearable devices like biomechanical devices to gauge motor skills, and other smart devices to assess player performance. Beyond awareness, the multidisciplinary nature of this book is a source of inspiration for the scientific community.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it